Respiratory Rate Derived from Pulse Photoplethysmographic Signal by Pulse Decomposition Analysis

Lazaro, J. (Universidad de Zaragoza) ; Kontaxis, S. (Universidad de Zaragoza) ; Bailon, R. (Universidad de Zaragoza) ; Laguna, P. (Universidad de Zaragoza) ; Gil, E. (Universidad de Zaragoza)

Resumen: A novel technique to derive respiratory rate from pulse photoplethysmographic (PPG) signals is presented. It exploits some morphological features of the PPG pulse that are known to be modulated by respiration: amplitude, slope transit time, and width of the main wave, and time to the first reflected wave. A pulse decomposition analysis technique is proposed to measure these features. This technique allows to decompose the PPG pulse into its main wave and its subsequent reflected waves, improving the robustness against noise and morphological changes that usually occur in long-term recordings. Proposed methods were evaluated with a data base containing PPG and plethysmography-based respiratory signals simultaneously recorded during a paced-breathing experiment. Results suggest that normal ranges of spontaneous respiratory rate (0.1-0.5 Hz) can be accurately estimated (median and interquartile range of relative error less than 5%) from PPG signals by using the studied features.

Idioma: Inglés

DOI: 10.1109/EMBC.2018.8513188

Año: 2018

Publicado en: Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) 2018-July (2018), 5282-5285
ISSN: 1557-170X

Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T96-BSICoS
Financiación: info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON
Financiación: info:eu-repo/grantAgreement/ES/ISCIII/CIBER-BBN
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TIN2014-5356-R

Tipo y forma: Artículo (PostPrint)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)